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Click here or scroll down to respond to this candidateEDUCATIONThe Graduate Center of the City University of New York Expected Street Address
MS in Quantitative MethodsAC in Data ScienceHunter College, the City University of New York Street Address
BA in PhysicsBA in PsychologyRELEVANT COURSEWORKMachine learning, Neural Networks & Artificial Intelligence, Big Data Analytics, Data Visualization, Data Mining, Advanced Statistics, Social Psychology, Social Organization, Political EconomicsEXPERIENCEThe Graduate Center, CUNYQuantitative Researcher: 2022 Present Published a scientific paper on social, economic, and labor trends on a national scale. Written with Dr. Paul Attewell. (Journal publication pending). This work made use of my strong analytic background in combination with strong domain knowledge.o Research: labor trends, CUNY retention and enrollment trends, and the impact of the COVID-19 crisis.This involved a lot of exploration with advanced statistical analysis and constructing maps in R just to see what I could find. While we began with an objective in mind, we got a lot of data and I had to play around with it for a while just to see what was there.o Data science: statistical analysis of large datasets (U.S. Census, DOL, and OIRA datasets) using STATA, R, and Python.o Research: national college retention trends, and the socioeconomic inequities therein.Measuring trends and drawing conclusions across multiple, massive datasets was one of the big challenges of this position.o Curated, cleaned, & maintained all project datasets, including large and sensitive datasets.Invented and implemented major security protocols surrounding this data to comply with federal law.o Liaised between Principal Investigator and state & federal institutions to find and access data not yet publicly available.o Anticipate future research and collaboratively explore innovative research opportunities based on present data and findings.I was constantly thinking of what subsequent proposals and publications would be.CUNY Hunter College Offices of Assessment & Institutional ReviewData Analyst: 2019 Present Reported to the directors of both departments. This involved independent time and task management, including managing priorities and facilitating work interdepartmentally. Preprocessing and analysis of data (campus- and CUNY-wide data) for institutional review.o Used R, SQL and Tableau for data visualization/map generation (GIS software, etc.) for various audiences.o Selected which indicators to use for assessing performance: graduation rates, retention rates, student performance, student demographics, etc.o This involved predicting the needs and use cases of data like course completion, enrollment rates, etc. I had to have an understanding of who would be using this data as well as how theyd be accessing it. I would then curate and publish it to fit those predicted needs. Prepare analyses and monitor assessment for Middle States Reaccreditation of the university.o Often my findings would be used for reaccreditation of the university. Compile and produce a central database of learning outcomes for all programs at Hunter College. This standardized and modernized assessments; it is something they had never done before and was necessary for the future of the institution. It took a full year to build, and is now readily available (distributed among all educators at the university as well as publicly posted) and frequently used.o Higher education institutions need to conduct regular educational assessment, including providing learning outcomes in order to retain accreditation. Before I worked on this project (from inception to completion), this centralized information did not exist.o I worked with the Director of Assessment for CUNY to identify this project, create/gather its requirements, implement it, and disseminate the information to professors, directors, accreditation board, and the public. I had to advocate for the importance of the project itself and get buy-in from the institution and its workers/funders.o Implementation involved collecting learning outcomes info from disparate sources: department websites, individual professors, or building them from nothing.o To disseminate, I compiled the data and added it to our department website (using HTML, basic DevOps, and web design).The database itself I stored in a secure location so that only non-sensitive data is accessible. Maintained our online presence in other ways: institutional standards, events, ongoing work, etc. Maintained department continuity during the ongoing COVID-19 crisis while undergoing a budgetary crisis.The Center for Advanced Study in Education (CASE)Lead Researcher: 2017 2023 Lead researcher of every project that came across the directors desk (Dr. Deborah Hecht).o When I started, there was a huge ongoing crisis of data management: lost files, incomplete projects, unsecure data. I solved this by personally tracking down & cataloging all files and devising a new storage methodology which was eventually implemented across the department.o It became my job to manage all our data, archives, and client projects. When something new came in, I was the person who reviewed, planned, and often implemented (if not assigned) the project. I was solely responsible for managing our central database and shared drive containing the data and reports across dozens of funded projects (including sensitive and restricted data). Primary job duties were data collection and analysis.o Notable projects included an audit of undergraduate research throughout CUNY to construct a centralized repository of research opportunities across CUNY. Before this, students at each CUNY campus were eligible for research positions at other campuses, but this information was rarely shared and often inaccessible. Construction and distribution of surveys via the Qualtrics platform.o Surveys varied by project in depth/importance from NSF-funded research and (1000+ respondent) surveys for assessing customer satisfaction for large organizations (like Boys & Girls Clubs of America) to individual professor reviews for CUNY. Managed a team of five employees. Typically folks with roles like: researcher, analyst, or intern. Onboarding/managing recent graduates: how to use SPSS and NVivo, facilitating workshops using Powerpoint, teaching basic data analysis skills, onboarding to custom software, and identifying opportunities for collaboration/improvement across departments.CUNY Hunter College Psychophysics LaboratoryLab Assistant: 2017 2018 Analyze EEG brainwave recording data. Included Fourier Analysis and anomaly detection. Required an understanding of advanced calculus. These models were necessary for specialists to study the effects of various visual stimuli on human perception of edges, shades, and colors. Follow strict IRB protocols for conducting human subjects research. Administer EEG tests. Involved teaching new lab assistants and helping human subjects work with sensitive and restrictive equipment.o Participants would have to have their scalp covered with conductive gel, be equipped in a helmet covered in delicate sensors, and remain still, restrained to a chair, in a dark confined space, while watching shapes on a television monitor, often for up to an hour. It is very uncomfortable, sensors frequently broke from the smallest shock, and people got claustrophobicit was a crash-course in people skills.Blue Sky Landscaping Services Inc., Queens, NYActing Owner: 2010 Present Honestly, this is my fathers company. He has had some major health battles and Ive had to step in whenever and wherever possible. When I was younger, this involved quite a bit of manual labor. As Ive gotten older, Ive taken on more managerial responsibilities. I debated leaving this off, but it has been so critical for my personal and professional development over the years that not including it would mean omitting a huge chunk of the story of Who I Am as a Worker and Leader. Negotiated prices with vendors, in-person and over the phone. Organized invoices for 100+ clients, including commercial conglomerates like JFK Airport. Maintained regular, healthy communication including timely payment for services rendered. Managed funds & budgeted business expenditures (e.g., materials lists, transportation costs) and resolve backlogged financial discrepancies during the off-season.SKILLS Statistical analysis, advanced programming, software/data engineeringo Python, SQL, and R.TensorFlow, Matplotlib, SciKit-Learn, SciPy, NumPy, Pandas, & Seaborn Machine Learning (algorithms and AI tools)o Construction and optimization Data analyticso SPSS, STATA, Tableau, JMP, NVivo Big data analyticso PySpark, Hadoop, MapReduce Data miningo Including webscraping with HTML Data visualization (2D & 3D) GIS softwareo Spatial data analysis, spatiotemporal analysis, map construction, interactive map generationo QGIS, GeoDa, SaTScan Survey constructiono Including proficiency with Qualtrics Data analysis with Excel Experience facilitating professional development trainings.PUBLICATIONS Attewell, P., & McNeil, R. G. (2024). College Majors and Racial Disparities in Post-college Earnings. Journal of Higher Education, Publication Pending. |
